Case Studies in Machine Learning Interpretation with Confidence Regions

Asaf Hajiyev () and Jiuping Xu ()
Additional contact information
Asaf Hajiyev: Ministry of Science and Education, Azerbaijan Republic, Institute of Control Systems
Jiuping Xu: Business School, Sichuan University

Chapter Chapter 5 in High-Dimensional Regression Analysis and Artificial Intelligence, 2026, pp 295-381 from Springer

Abstract: Abstract This chapter introduces the Confidence Interval-based Credibility Evaluation (CICE) framework, which integrates multiple statistical indicators into a unified score to assess the stability and reliability of model explanations. Through real-world case studies in engineering, finance, and time series prediction, the effectiveness of CICE in detecting unstable interpretations and enhancing model transparency is demonstrated.

Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-95-2514-0_5

Ordering information: This item can be ordered from
http://www.springer.com/9789819525140

DOI: 10.1007/978-981-95-2514-0_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().